Statistics for management and economics:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boston u.a.
Allyn and Bacon
1993
|
| Ausgabe: | 5. ed. |
| Schriftenreihe: | Quantitative methods and applied statistics series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXII, 1063 S. graph. Darst. |
| ISBN: | 0205140947 |
Internformat
MARC
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| 245 | 1 | 0 | |a Statistics for management and economics |c Collin J. Watson ... |
| 250 | |a 5. ed. | ||
| 264 | 1 | |a Boston u.a. |b Allyn and Bacon |c 1993 | |
| 300 | |a XXII, 1063 S. |b graph. Darst. | ||
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| 490 | 0 | |a Quantitative methods and applied statistics series | |
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Datensatz im Suchindex
| _version_ | 1804124296367308800 |
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| adam_text | Contents
Preface xix
Introduction to Statistics 1 CHAPTER 1
1.1 What Is Statistics? 2
1.2 Types of Problems in Statistics 4
Problems 5
1.3 Data, Data Types, and Data Sources 5
Problems 9
1.4 Introduction to Statistical Graphics 9
Problems 13
1.5 Summary 14
Review Problems 15
Ratio Data Set Questions 17
Credit Data Set Questions 17
Case 1.1: Using Statistical Graphics in Corporate Annual
Reports 18
Case 1.2: Evaluating the Effectiveness of Teaching Aids 19
Case 1.3: Making the Decision to Launch the Space Shuttle
Challenger 20
References 21
Chapter Supplement 23
1.6 Misuses of Statistics 23
Problems 25
Data Distributions 27 CHAPTER 2
2.1 Frequency Distributions 28
Problems 34
2.2 Cumulative Frequency Distributions 35
Problems 36
2.3 Graphic Presentation: Histogram 37
Problems 45
2.4 Graphic Presentation: Ogive 46
Problems 47
Contents
2.5 Exploratory Data Analysis: Stem and Leaf Graphic Display 48
Problems 51
2.6 Summary 51
Review Problems 52
Ratio Data Set Questions 65
Credit Data Set Questions 66
Case 2.1: Using Histograms to Depict Investment Risks of Stocks
and Bonds 67
Case 2.2: Summarizing Age Distributions at Diagnosis for Diseases
of the Breast 67
Case 2.3: Evaluating the Distribution of Additional Collections After
a Tax Audit 69
References 70
CHAPTER 3 Descriptive Measures 71
3.1 Symbols 72
3.2 Measures of Location 72
3.3 Mean 72
3.4 Weighted Mean 74
3.5 Median 76
3.6 Mode 77
Problems 78
3.7 Measures of Variation 79
3.8 Range 80
3.9 Deviations from the Mean 81
3.10 Population Variance and Standard Deviation 82
3.11 Sample Variance and Standard Deviation 87
Problems 91
3.12 What the Standard Deviation Tells Us 92
Problems 95
3.13 Selecting Measures of Location and Dispersion 96
3.14 Coefficient of Variation 98
Problems 99
3.15 Exploratory Data Analysis with Computers: Descriptive Measures and
Box Plots 100
Problems 105
3.16 Summary 107
Review Problems 108
Ratio Data Set Questions 117
Credit Data Set Questions 118
Case 3.1: Analyzing the Fairness of the 1970 Draft Lottery 119
Case 3.2: Exploring COMPUSTAT Data Files 121
References 122
Chapter Supplement 123
3.17 Descriptive Statistics for Grouped Data 123
CHAPTER 4 Probability 131
4.1 Probability Concepts 132
Problems 136
Contents
4.2 Properties of Probabilities 137
4.3 Computing Probabilities 138
Problems 152
4.4 Probability Tree Diagrams 155
Problems 159
4.5 Bayes Theorem 160
Problems 164
4.6 Summary 165
Review Problems 166
Ratio Data Set Questions 174
Credit Data Set Questions 174
Case 4.1: Evaluating Cancer Screening Tests 175
Case 4.2: Determining The Risk of AIDS from Donor Blood
Transfusions 177
Case 4.3: Misusing Probability in a Court of Law 179
References 180
Chapter Supplement 181
4.7 Counting Principles 181
Problems 187
Discrete Probability Distributions 189 CHAPTER 5
5.1 Random Variables 190
5.2 General Probability Distributions for Discrete Random
Variables 191
Problems 194
5.3 Expected Values and Variances of Random Variables 195
Problems 198
5.4 Binomial Probability Distributions 199
Problems 210
5.5 Poisson Probability Distributions 211
Problems 214
5.6 Summary 216
Review Problems 217
Ratio Data Set Questions 222
Credit Data Set Questions 223
Case 5.1: Substantiating Employment Discrimination 223
Case 5.2: Winning the Oil Lease Lottery 224
References 226
Chapter Supplement 227
5.7 Hypergeometric Probability Distributions 227
Problems 230
5.8 Expected Values and Variances of Linear Functions and Sets of
Random Variables 231
Problems 234
Continuous Probability Distributions 237 CHAPTER 6
6.1 General Probability Distributions for Continuous Random
Variables 238
Problems 241
Contents
6.2 Uniform Probability Distributions 242
Problems 243
6.3 Normal Probability Distributions 244
Problems 254
6.4 Normal Approximation of Binomial Distributions 255
Problems 266
6.5 Summary 268
Review Problems 270
Ratio Data Set Questions 274
Credit Data Set Questions 274
Case 6.1: Investing in Common Stocks 274
Case 6.2: Allocating Natural Gas 275
References 277
Chapter Supplement 279
6.6 Exponential Probability Distributions 279
Problems 281
CHAPTER 7 Sampling Distributions 283
7.1 Sampling and Inference 284
7.2 Expected Values and Variances of Statistics 287
Problems 292
7.3 Sampling from Normal Populations 292
7.4 Standardized Sample Mean 294
Problems 297
7.5 Central Limit Theorem 297
Problems 305
7.6 Summary 307
Review Problems 308
Ratio Data Set Questions 313
Credit Data Set Questions 313
Case 7.1: Sampling Inventory for Last In First Out
Valuation 314
Case 7.2: Determining the Probability of Overpayments to Health
Care Providers 316
References 318
Chapter Supplement 319 _ _
7.7 Sampling Distributions of Xx — X2 319
Problems 325
7.8 Sampling Distributions of p — p2 325
Problems 328
CHAPTER 8 Estimation 331
8.1 Estimators 332
Problems 335
8.2 Confidence Intervals for Normal Means: Known Standard
Deviation 336
Problems 342
Contents
8.3 t Distributions 343
Problems 345
8.4 Confidence Intervals for Normal Means: Unknown Standard
Deviation 345
Problems 350
8.5 Estimating Binomial p 353
Problems 355
8.6 Sample Size 356
Problems 362
8.7 Summary 363
Review Problems 364
Ratio Data Set Questions 368
Credit Data Set Questions 369
Case 8.1: Estimating Lifetimes of Consumer Products 369
Case 8.2: Estimating Overpayments on Losses Incurred with
Federally Insured Mortgages 370
References 371
Chapter Supplement 373
8.8 Confidence Intervals for /a, — /i2 373
Problems 378
8.9 Confidence Intervals for p, p2 381
Problems 382
Tests of Hypotheses 383 CHAPTER 9
9.1 Establishing Hypotheses 384
Problems 386
9.2 Testing Hypotheses 386
9.3 Type I and Type II Errors 388
Problems 390
9.4 Steps of Hypothesis Testing 390
9.5 Hypotheses on a Normal Mean 394
Problems 403
9.6 P Values and Hypothesis Testing 406
9.7 Hypotheses on a Binomial p 408
Problems 411
9.8 Testing the Hypothesis fjLt = /x2 412
Problems 424
9.9 Testing the Hypothesis p, = p2 427
Problems 431
9.10 Testing the Hypothesis a] = t and F Distributions 432
Problems 437
9.11 Summary 438
Review Problems 441
Ratio Data Set Questions 447
Credit Data Set Questions 448
Case 9.1: Comparing Hypothesis Testing and Court
Procedures 448
Case 9.2: Testing the Effectiveness of a Cattle Feeding
Program 449
Contents
References 450
Chapter Supplement 451
9.12 Type II Error Probabilities and Power of a Hypothesis Test 451
Problems 456
9.13 Testing the Hypothesis /i, = /x.2 with Paired Data 457
Problems 463
9.14 Groups Versus Pairs 465
Problems 466
CHAPTER 10 Analysis of Variance 469
10.1 Analysis of Variance Concepts and Computations 470
10.2 Testing the Hypothesis of Several Equal Means 474
Problems 478
10.3 Analysis of Variance Computations for Unequal Sample Sizes 480
Problems 482
10.4 Analysis of Variance by Partitioning the Sum of Squares 484
Problems 494
10.5 Multiple Comparisons of Means 497
Problems 502
10.6 Summary 503
Review Problems 504
Ratio Data Set Questions 511
Credit Data Set Questions 511
Case 10.1: Testing the Effectiveness of Contribution Soliciting
Methods 511
References 512
Chapter Supplement 513
10.7 Analysis of Variance and Two Sample Tests 513
Problems 515
10.8 Introduction to Experimental Designs 516
10.9 Two Factor Analysis of Variance and a Randomized Complete Block
Design 517
Problems 529
10.10 Two Factor Analysis of Variance and a Factorial Design 533
Problems 550
CHAPTER 11 Tests Using Categorical Data 555
11.1 Multinomial Distributions 556
11.2 Hypotheses About the Multinomial Parameters 557
Problems 561
11.3 Contingency Tables 563
Problems 572
11.4 Summary 574
Review Problems 575
Ratio Data Set Questions 579
Credit Data Set Questions 580
Case 11.1: Evaluating the Maldistribution of Health Care
Providers 580
Contents x
References 583
Chapter Supplement 585
11.5 Testing a Binomial Proportion with Chi Square 585
Problems 586
11.6 Test for Goodness of Fit 586
Problems 589
Regression and Correlation 591 CHAPTER 12
12.1 Simple Linear Regression 592
12.2 Finding the Slope and the Intercept of a Regression Line 595
Problems 604
12.3 Partitioning the Sum of Squares in Simple Regression 605
Problems 609
12.4 Standard Error of the Estimate sYix and Coefficient of
Determination r2 609
Problems 613
12.5 Inference and Prediction in Regression Analysis 613
Problems 623
12.6 Correlation 624
Problems 631
12.7 Summary 632
Review Problems 635
Ratio Data Set Questions 647
Credit Data Set Questions 647
Case 12.1: Predicting Catastrophic Failure of the Space Shuttle
Challenger 648
Case 12.2: Predicting the Value of Real Estate 650
Case 12.3: Reducing Investment Risk with Portfolio Theory 651
References 653
Chapter Supplement 655
12.8 Residual Analysis 655
Problems 660
Multiple Regression 661 CHAPTER 13
13.1 Multiple Linear Regression 662
13.2 Finding the Coefficients for a Multiple Regression Equation by Using a
Computer 663
Problems 668
13.3 Partitioning the Sum of Squares in Multiple Regression 669
Problems 672
13.4 Standard Error of the Estimate and Coefficient of Multiple
Determination R1 672
Problems 675
13.5 Statistical Inference and Prediction in Multiple Regression
Analysis 675
Problems 683
13.6 Indicator Variables 683
Problems 688
Contents
13.7 Summary 689
Review Problems 691
Ratio Data Set Questions 700
Credit Data Set Questions 701
Case 13.1: Predicting the Margin of Victory in College Football
Games 701
Case 13.2: Predicting the Number of Bidders for the Oil Lease
Lottery 703
References 705
Chapter Supplement 707
13.8 Residual Analysis, Multicollinearity, and Special Problems in Multiple
Regression 707
Problems 710
13.9 Stepwise Multiple Regression 711
Problems 720
13.10 Curvilinear Regression 728
Problems 736
13.11 Testing Several Coefficients of a Multiple Regression Equation 737
Problems 742
13.12 Standardized Regression Coefficients 745
Problems 746
CHAPTER 14 Time Series Analysis 747
14.1 Time Series 748
Problems 749
14.2 Components of Time Series 750
Problems 752
14.3 Smoothing 752
Problems 756
14.4 Measuring the Components of a Time Series 756
14.5 Trend Analysis 759
Problems 762
14.6 Seasonal Indexes 762
Problems 766
14.7 Finding Seasonal Measures Using Multiple Regression 767
Problems 773
14.8 Cyclical Variation 773
Problems 776
14.9 Using Time Series Results and Forecasting 776
Problems 780
14.10 Summary 780
Review Problems 781
Ratio Data Set Questions 784
Credit Data Set Questions 784
Case 14.1: Adjusting Time Series Data at the Bureau of Labor
Statistics 784
References 786
Chapter Supplement 787
14.11 Autocorrelated Errors 787
Problems 791
Contents *
14.12 Autocorrelation and Autoregressive Models 793
Problems 802
Statistical Process Control 805 CHAPTER 15
15.1 Quality Improvement 806
15.2 Process Control 807
Problems 813
15.3 Control Charts 814
Problems 830
15.4 Process Capability 833
Problems 838
15.5 Summary 838
Review Problems 840
Case 15.1: Controlling the Quality of Goods and Services 845
References 846
Decision Analysis 849 CHAPTER 16
16.1 Payoff Table 850
16.2 Prior Probabilities 853
Problems 855
16.3 Expected Monetary Value 856
Problems 858
16.4 Decision Trees 858
Problems 862
16.5 Opportunity Loss Table 863
Problems 867
16.6 Expected Value of Perfect Information 868
Problems 871
16.7 Decision Criteria 871
Problems 874
16.8 Utility 875
16.9 Summary 877
Review Problems 877
Credit Data Set Questions 883
Case 16.1: Making Decisions with the Aid of a Computer 883
Case 16.2: Making Capital Investment Decisions 884
References 885
Decision Analysis with Sample Information 887 CHAPTER 17
17.1 Subjective Probabilities 888
Problems 892
17.2 Decision Analysis with Sample Information 893
Problems 899
17.3 When to Sample 900
Problems 900
17.4 Summary 900
Contents
Review Problems 901
Credit Data Set Questions 904
Case 17.1: Making the Decision to Drill for Oil 904
References 905
CHAPTER 18 Nonparametric Methods 907
18.1 Wilcoxon Signed Rank Test of a Median 908
Problems 913
18.2 Sign Test 915
Problems 918
18.3 Mann Whitney Test of Two Medians 918
Problems 924
18.4 Spearman s Rank Correlation 925
Problems 929
18.5 Summary 930
Review Problems 930
Ratio Data Set Questions 934
Credit Data Set Questions 934
Case 18.1: Comparing Temperature Rankings for The Space Shuttle
Challenger 935
Case 18.2: Comparing Consumer Rankings of Electronic
Calculators 938
References 940
Chapter Supplement 941
18.6 Wilcoxon Signed Rank Test with Paired Data 941
Problems 942
18.7 Runs Test for Randomness 944
Problems 950
18.8 Kruskal Wallis Test of k Medians 952
Problems 956
CHAPTER 19 Index Numbers 959
19.1 Index Numbers 960
19.2 Simple Aggregate Index 961
Problems 963
19.3 Price Indexes with Quantity Weights 964
Problems 968
19.4 Base Period and Quality 969
Problems 970
19.5 Uses of Indexes 970
Problems 972
19.6 Summary 973
Review Problems 974
Credit Data Set Questions 976
Case 19.1: Indexing Consumer Prices 976
Case 19.2: Indexing Producer Prices 977
References 978
Contents x
Appendix A: Data Sets 979
Appendix B: Summation Notation 989
Appendix C: Tables 993
Appendix D: MINITAB Brief Reference 1015
Appendix E: Business MYSTAT Manual with QC Tools 1019
Appendix F: Greek Alphabet 1037
Appendix G: Answers to Odd Numbered Problems 1039
Index 1055
|
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| id | DE-604.BV009930548 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:43:25Z |
| institution | BVB |
| isbn | 0205140947 |
| language | English |
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| physical | XXII, 1063 S. graph. Darst. |
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| spelling | Statistics for management and economics Collin J. Watson ... 5. ed. Boston u.a. Allyn and Bacon 1993 XXII, 1063 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Quantitative methods and applied statistics series Sozialwissenschaften Statistik Wirtschaft Economics Statistical methods Social sciences Statistical methods Statistics Methode (DE-588)4038971-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s Methode (DE-588)4038971-6 s DE-604 Watson, Collin J. Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006578428&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Statistics for management and economics Sozialwissenschaften Statistik Wirtschaft Economics Statistical methods Social sciences Statistical methods Statistics Methode (DE-588)4038971-6 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4056995-0 |
| title | Statistics for management and economics |
| title_auth | Statistics for management and economics |
| title_exact_search | Statistics for management and economics |
| title_full | Statistics for management and economics Collin J. Watson ... |
| title_fullStr | Statistics for management and economics Collin J. Watson ... |
| title_full_unstemmed | Statistics for management and economics Collin J. Watson ... |
| title_short | Statistics for management and economics |
| title_sort | statistics for management and economics |
| topic | Sozialwissenschaften Statistik Wirtschaft Economics Statistical methods Social sciences Statistical methods Statistics Methode (DE-588)4038971-6 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Sozialwissenschaften Statistik Wirtschaft Economics Statistical methods Social sciences Statistical methods Statistics Methode |
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